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Identification of clinical trait–related lncRNA and mRNA biomarkers with weighted gene co-expression network analysis as useful tool for personalized medicine in ovarian cancer

Overview of attention for article published in EPMA Journal, July 2019
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Mentioned by

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1 X user

Citations

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102 Dimensions

Readers on

mendeley
48 Mendeley
Title
Identification of clinical trait–related lncRNA and mRNA biomarkers with weighted gene co-expression network analysis as useful tool for personalized medicine in ovarian cancer
Published in
EPMA Journal, July 2019
DOI 10.1007/s13167-019-00175-0
Pubmed ID
Authors

Na Li, Xianquan Zhan

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 19%
Student > Master 7 15%
Researcher 4 8%
Professor > Associate Professor 3 6%
Student > Ph. D. Student 3 6%
Other 5 10%
Unknown 17 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 31%
Medicine and Dentistry 5 10%
Agricultural and Biological Sciences 2 4%
Social Sciences 2 4%
Psychology 2 4%
Other 5 10%
Unknown 17 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 September 2019.
All research outputs
#21,498,958
of 23,999,200 outputs
Outputs from EPMA Journal
#278
of 318 outputs
Outputs of similar age
#297,783
of 348,196 outputs
Outputs of similar age from EPMA Journal
#5
of 7 outputs
Altmetric has tracked 23,999,200 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 318 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 348,196 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.